Interoperability in Personalized Adaptive Learning
Lora Aroyo, Peter Dolog, Geert-Jan Houben, Milos Kravcik, Ambjorn Naeve, Mikael Nilsson, Fridolin Wild
Journal of Educational Technology & Society Volume 9, Number 2, ISSN 1176-3647 e-ISSN 1176-3647
Personalized adaptive learning requires semantic-based and context-aware systems to manage the Web knowledge efficiently as well as to achieve semantic interoperability between heterogeneous information resources and services. The technological and conceptual differences can be bridged either by means of standards or via approaches based on the Semantic Web. This article deals with the issue of semantic interoperability of educational contents on the Web by considering the integration of learning standards, Semantic Web, and adaptive technologies to meet the requirements of learners. Discussion is made on the state of the art and the main challenges in this field, including metadata access and design issues relating to adaptive learning. Additionally, a way how to integrate several original approaches is proposed. (Contains 3 figures.)
Aroyo, L., Dolog, P., Houben, G.J., Kravcik, M., Naeve, A., Nilsson, M. & Wild, F. (2006). Interoperability in Personalized Adaptive Learning. Journal of Educational Technology & Society, 9(2), 4-18.
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Creating Collaborative and Convenient Learning Environment Using Cloud-Based Moodle LMS: An Instructor and Administrator Perspective
Vikas Kumar, School of Business Studies, Sharda University, Greater Noida, India; Deepika Sharma, Jagannath University, Jaipur, India
International Journal of Web-Based Learning and Teaching Technologies Vol. 11, No. 1 (January 2016) pp. 35–50
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